| User | MrCrispr |
| Upload Date | September 23 2024 08:33 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2801
521.0 IPS |
|
|
Image Classification (HP)
|
100% |
869
161.5 IPS |
|
|
Image Classification (Q)
|
99% |
7383
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2707
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1503
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4373
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30805
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17773
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
86515
101.4 IPS |
|
|
Object Detection (SP)
|
100% |
3539
280.7 IPS |
|
|
Object Detection (HP)
|
100% |
1149
91.1 IPS |
|
|
Object Detection (Q)
|
88% |
3582
287.1 IPS |
|
|
Face Detection (SP)
|
100% |
5021
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
7547
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14605
112.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4298
33.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
16210
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53700
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40956
52.6 IPS |
|
|
Style Transfer (Q)
|
98% |
55134
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5513
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7133
264.1 IPS |
|
|
Text Classification (SP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
631
845.7 IPS |
|
|
Machine Translation (SP)
|
100% |
4337
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
60% |
4276
95.4 IPS |